Triple
T12308977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beachy Amish Mennonite churches |
E293426
|
entity |
| Predicate | stanceOnTechnology |
P43342
|
FINISHED |
| Object | selective acceptance of modern technology |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: selective acceptance of modern technology | Statement: [Beachy Amish Mennonite churches, stanceOnTechnology, selective acceptance of modern technology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stanceOnTechnology Context triple: [Beachy Amish Mennonite churches, stanceOnTechnology, selective acceptance of modern technology]
-
A.
associatedWithTechnology
Indicates a relationship where an entity is connected to, involved with, or utilizes a particular technology.
-
B.
technologyUse
Indicates the use or application of a particular technology by an entity to perform an action or achieve a purpose.
-
C.
influencedTechnology
Indicates that one entity has had a causal or shaping impact on the development, design, or use of a technological entity.
-
D.
technologyEffect
Indicates the impact or influence that a particular technology has on another entity, system, or outcome.
-
E.
viewOnTechnology
chosen
Indicates how an entity perceives, evaluates, or holds opinions about technology and its role or impact.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec02c008190a56aae60a3d9eff6 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.